6 accepted papers
Vision-Language Continual Learning (VLCL) has attracted significant research attention for its robust capabilities, and the adoption of Parameter-Efficient Fine-Tuning (PEFT) strategies is enabling these models to achieve competitive performance with substantially reduced resource consumption. Howev
Modified Polar Representation (MPR) has shown its superiority in integration of near and far field localization for a stationary source. This paper extends the researches and applications of the MPR to moving source, where time difference of arrival (TDOA) and frequency difference of arrival (FDOA)…
Multidimensional scaling (MDS) is an attractive method for location-related applications due to its robustness against noise. This paper applies MDS to time difference of arrival (TDOA) localization in the modified polar representation (MPR) for integrating near-field and far-field localizations. Th…
Active speaker detection is a challenging task in audio-visual scenarios, with the aim to detect who is speaking in one or more speaker scenarios. This task has received considerable attention because it is crucial in many applications. Existing studies have attempted to improve the performance by i…
Recent research has shown that using the 1-D signal arrival angles observed by linear arrays can locate a 3-D source in unique co-ordinates. Current methods to solve this localization problem are based on semidefinite programming (SDP) or gradient-based iteration, which are either computationally de…
The popularity of video social platforms (TikTok, etc.) shows that video is a popular information carrier at present. However, shot occlusion frequently occurs when people are shooting videos to record information. Since the shot occlusion seriously affects the viewers’ experience, the video editors…